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Bundesliga
Referee: Christian Dingert
Stuttgart
S S U T T
5–1
Full-time
Hoffenheim
T U S T S

Retrospective analysis — the model is trained only on matches played before this one.

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The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Stuttgart Hoffenheim
Last 6 — all competitions · 6/6 matches
Win Ø 42%
50%
33%
Points per game
1,7
1,2
Over 2.5 Ø 59%
67%
50%
Both score Ø 67%
67%
67%
Average goals
3,3
3,0
Scored
1,7
1,2
Conceded
1,7
1,8
Goal diff per game
+0,0
-0,7
This season — Bundesliga · 24/24 matches
Win Ø 25%
33%
17%
Points per game
1,2
0,9
Over 2.5 Ø 59%
71%
46%
Both score Ø 65%
67%
63%
Average goals
3,5
2,6
Scored
1,5
1,0
Conceded
2,0
1,5
Goal diff per game
-0,5
-0,5
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Expected goals, over/under and both teams to score — priced by the model before kick-off.

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🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

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Match stats

Half-time score: 2–0

36% Possession 64%
21 Shots 13
11 Shots on target 4
4 Blocked shots 4
3 Goalkeeper saves 6
11 Corners 1
4 Offside 2
0 Free kicks against 0
1 Yellow cards 2
0 Red cards 0
The table before the match Stuttgart 12. · Hoffenheim 17.
# Team K V U T +/− P
1 Bayern Munich 24 20 2 2 +46 62
2 Dortmund 24 18 3 3 +34 57
3 Hertha 24 12 6 6 +9 42
4 M'gladbach 24 12 3 9 +9 39
5 Mainz 24 12 3 9 +4 39
6 Schalke 04 24 11 5 8 +3 38
7 Leverkusen 24 10 5 9 +3 35
8 Wolfsburg 24 9 7 8 +5 34
9 FC Ingolstadt 04 24 8 7 9 -7 31
10 FC Koln 24 7 9 8 -5 30
11 Hamburg 24 7 7 10 -6 28
12 Stuttgart 24 8 4 12 -13 28
13 Augsburg 24 6 7 11 -8 25
14 Darmstadt 24 6 7 11 -13 25
15 Werder Bremen 24 6 6 12 -16 24
16 Ein Frankfurt 24 5 8 11 -12 23
17 Hoffenheim 24 4 9 11 -12 21
18 Hannover 24 5 2 17 -21 17

Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.

Recent head-to-head meetings

3. Oct -15 Hoffenheim – Stuttgart 2–2

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.